Triple

T8382264
Position Surface form Disambiguated ID Type / Status
Subject Kamloops Blazers E197719 entity
Predicate abbreviation P43 FINISHED
Object KAM
KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
 E729530 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KAM | Statement: [Kamloops Blazers, abbreviation, KAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KAM
Context triple: [Kamloops Blazers, abbreviation, KAM]
  • A. KAMPI
    KAMPI is a Philippine political party closely associated with former President Gloria Macapagal Arroyo and her administration.
  • B. KMA
    KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
  • C. KMar
    KMar is the abbreviated name for the Royal Netherlands Marechaussee, a Dutch gendarmerie force responsible for military police duties, border security, and various national security tasks.
  • D. KEM
    KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • E. kami
    Kami are the myriad deities or spirits in Shinto belief, revered as sacred forces residing in natural phenomena, objects, and ancestral beings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KAM
Triple: [Kamloops Blazers, abbreviation, KAM]
Generated description
KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KAM
Target entity description: KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • A. KAMPI
    KAMPI is a Philippine political party closely associated with former President Gloria Macapagal Arroyo and her administration.
  • B. KMA
    KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
  • C. KMar
    KMar is the abbreviated name for the Royal Netherlands Marechaussee, a Dutch gendarmerie force responsible for military police duties, border security, and various national security tasks.
  • D. KEM
    KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • E. kami
    Kami are the myriad deities or spirits in Shinto belief, revered as sacred forces residing in natural phenomena, objects, and ancestral beings.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80ddc0f08190a90d4d9070bf713b completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde814816481909bcc3b11fa5a1367 completed April 2, 2026, 3:52 a.m.
NEDg Description generation batch_69cdeb2209908190a9c2b7258295561e completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec53410c8190b4c5e412922801dd completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 6:02 p.m.